如何使用货币格式化Bokeh Xaxis刻度线 [英] How to format bokeh xaxis ticks with currency

问题描述

我正在研究一个juypter笔记本，以制作一个项目符号图来比较两个值.情节渲染，但我想格式化xaxis代码以显示货币.这就是我到目前为止所拥有的...

  project =火箭"目标支出= 15000消费2日期= 16600数据= [(项目，目标支出，花费2日期)]从bokeh.io导入显示，output_notebook来自bokeh.plotting导入图def make_bokeh_spend_bullet(数据):output_notebook()如果len(data)== 1:ph = 135elif len(data)> 1和len(data)<3:ph = 165别的:ph =(6 * len(数据)* 10)如果data [0] [2]<数据[0] [1] * 2:性能=数据[0] [2]限制= [0，数据[0] [1]，数据[0] [1] * 2]别的:性能=数据[0] [2]限制= [0，数据[0] [1]，数据[0] [2]]标签= [确定"，超出预算"，]cats = [x [0] for data in x]p = figure(title ="Project Spend"，plot_height = ph，plot_width = 600，y_range = cats)p.x_range.range_padding = 0p.grid.grid_line_color =无p.xaxis [0] .ticker.num_minor_ticks = 0#p.xaxis [0] .ticker.format('$ 0,0')左，右，zip中的颜色(limits [:-1]，limits [1:]，OrRd3 [::-1]):p.hbar(y = cats，left = left，right = right，height = 0.8，color = color)对于数据中的x:如果x [2]>x [1]:p.hbar(y = cats，left = 0，right = perf，height = 0.3，color ="firebrick")别的:p.hbar(y = cats，left = 0，right = perf，height = 0.3，color ="gray")comp = [x [1] for data in x]p.segment(x0 = comp，y0 = [(x，-0.5)for x in cats]，x1 = comp，y1 = [(对于x，在猫中为[(x，0.5))，color ="black"，line_width = 2)首先，用zip标签(limits [:-1]，标签):p.add_layout(Label(x = start，y = 0，text = label，text_font_size ="10pt"，text_color ='black'，y_offset = 5，x_offset = 15))返回节目(p)output_notebook()p = make_bokeh_spend_bullet(数据) 

我从

I'm working on a juypter notebook to make a bullet graph to compare two values. The plot renders but I would like to format the xaxis tickers to show currency. This is what I have so far...

project = "Rocket"
targetspend = 15000
spend2date = 16600
data = [(project, targetspend, spend2date)]

from bokeh.io import show, output_notebook
from bokeh.plotting import figure

def make_bokeh_spend_bullet(data):
  output_notebook()
  if len(data) ==1:
      ph = 135

  elif len(data) >1 and len(data) < 3:
    ph =165
  else:
    ph = ( 6 * len(data) * 10)


  if data[0][2] < data[0][1] * 2:
    perf = data[0][2]
    limits = [0, data[0][1], data[0][1] *2]
  else:
    perf = data[0][2]
    limits = [0, data[0][1], data[0][2]]

  labels = ["OK", "Over budget", ]
  cats = [x[0] for x in data]

  p=figure(title="Project Spend", plot_height=ph, plot_width=600, y_range=cats)
  p.x_range.range_padding = 0
  p.grid.grid_line_color = None
  p.xaxis[0].ticker.num_minor_ticks = 0
  #p.xaxis[0].ticker.format('$0,0')

  for left, right, color in zip(limits[:-1], limits[1:], OrRd3[::-1]):
    p.hbar(y=cats, left=left, right=right, height=0.8, color=color)


  for x in data:
    if x[2] > x[1]:
      p.hbar(y=cats, left=0, right=perf, height=0.3, color="firebrick")
    else:
      p.hbar(y=cats, left=0, right=perf, height=0.3, color="gray")

  comp = [x[1] for x in data]
  p.segment(x0=comp, y0=[(x, -0.5) for x in cats], x1=comp,
          y1=[(x, 0.5) for x in cats], color="black", line_width=2)

  for start, label in zip(limits[:-1], labels):
    p.add_layout(Label(x=start, y=0, text=label, text_font_size="10pt",
                       text_color='black', y_offset=5, x_offset=15)) 
  return show(p)

output_notebook()

p = make_bokeh_spend_bullet(data)

I read from the bokeh documentation about a class NumeralTickFormatter(**kwargs) but It's not clear how to use this format option for my graph.

解决方案

The code just needs a little more help.

from bokeh.models import Label, Title, NumeralTickFormatter

Then add another assignment to the xaxis

p.xaxis[0].formatter = NumeralTickFormatter(format="$0")

Below is the new graph:

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